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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2022 Roman Right (Korolev) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/README.md0000644000000000000000000000213414477224774012015 0ustar00# Lazy parsing for Pydantic models This library provides a lazy interface for parsing objects from dictionaries. During the parsing, it saves the raw data inside the object and parses each field on demand. ## Install poetry ```shell poetry add lazy-model ``` pip ```shell pip install lazy-model ``` ## Usage ```python from lazy_model import LazyModel from pydantic import validator class Sample(LazyModel): i: int s: str @validator("s") def s_upper(cls, v): return v.upper() obj = Sample.lazy_parse({"i": "10", "s": "test"}) # at this point the data is stored in a raw format inside the object print(obj.__dict__) # >>> {'i': NAO, 's': NAO} # NAO - Not An Object. It shows that the field was not parsed yet. print(obj.s) # >>> TEST # Custom validator works during lazy parsing print(obj.__dict__) # >>> {'i': NAO, 's': 'TEST'} # The `s` field was already parsed by this step print(obj.i, type(obj.i)) # >>> 10 # It converted `10` from string to int based on the annotations print(obj.__dict__) # >>> {'i': 10, 's': 'TEST'} # Everything was parsed ```././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/lazy_model/__init__.py0000644000000000000000000000014514477224774015006 0ustar00from lazy_model.main import LazyModel from lazy_model.nao import NAO __all__ = ["LazyModel", "NAO"] ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/lazy_model/main.py0000644000000000000000000000053714477224774014200 0ustar00import pydantic major_version = int(pydantic.version.VERSION.split(".")[0]) if major_version == 1: from lazy_model.parser.old import LazyModel # noqa: F401 elif major_version == 2: from lazy_model.parser.new import LazyModel # noqa: F401 else: raise NotImplementedError( f"pydantic version {major_version} not supported" ) ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/lazy_model/nao.py0000644000000000000000000000012614477224774014023 0ustar00class NotAnObject: def __repr__(self): return "NAO" NAO = NotAnObject() ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/lazy_model/parser/__init__.py0000644000000000000000000000000014477224774016270 0ustar00././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/lazy_model/parser/new.py0000644000000000000000000001015014477224774015331 0ustar00from typing import Any, Optional, Set, Dict import pydantic_core from pydantic import BaseModel, PrivateAttr, ValidationError, TypeAdapter from pydantic._internal import _fields from lazy_model.nao import NAO ROOT_KEY = "__root__" _object_setattr = object.__setattr__ class LazyModel(BaseModel): _store: Dict[str, Any] = PrivateAttr(default_factory=dict) _lazily_parsed: bool = PrivateAttr(default=False) @classmethod def lazy_parse( cls, data: Dict[str, Any], fields: Optional[Set[str]] = None, ): fields_values = {} field_alias_map = {} if fields is None: fields = set() for name, field in cls.model_fields.items(): fields_values[name] = NAO alias = field.alias or name if alias in fields: field_alias_map[alias] = name field_set = set(fields_values.keys()) m = cls.model_construct(field_set, **fields_values) m._store = data for alias in fields: m._set_attr(field_alias_map[alias], data[alias]) return m def _parse_value(self, name, value): field_type = self.model_fields.get(name).annotation try: value = TypeAdapter(field_type).validate_python(value) except ValidationError as e: if value is None and self.model_fields.get(name).required is False: value = None else: raise e return value def parse_store(self): for name in self.model_fields: self.__getattribute__(name) def _set_attr(self, name: str, value: Any) -> None: """ Stolen from Pydantic. :param name: :param value: :return: TODO rework """ if name in self.__class_vars__: raise AttributeError( f"{name!r} is a ClassVar of `{self.__class__.__name__}` and cannot be set on an instance. " # noqa: E501 f"If you want to set a value on the class, use `{self.__class__.__name__}.{name} = value`." # noqa: E501 ) elif not _fields.is_valid_field_name(name): if ( self.__pydantic_private__ is None or name not in self.__private_attributes__ ): _object_setattr(self, name, value) else: attribute = self.__private_attributes__[name] if hasattr(attribute, "__set__"): attribute.__set__(self, value) # type: ignore else: self.__pydantic_private__[name] = value return elif self.model_config.get("frozen", None): error: pydantic_core.InitErrorDetails = { "type": "frozen_instance", "loc": (name,), "input": value, } raise pydantic_core.ValidationError.from_exception_data( self.__class__.__name__, [error] ) attr = getattr(self.__class__, name, None) if isinstance(attr, property): attr.__set__(self, value) self.__pydantic_validator__.validate_assignment(self, name, value) def __getattribute__(self, item): # If __class__ is accessed, return it directly to avoid recursion if item == "__class__": return super().__getattribute__(item) # If called on the class itself, delegate to super's __getattribute__ if type(self) is type: # Check if self is a class return super(type, self).__getattribute__(item) # For instances, use the object's __getattribute__ to prevent recursion res = object.__getattribute__(self, item) if res is NAO: field_info = self.model_fields.get(item) alias = field_info.alias or item value = self._store.get(alias, NAO) if value is NAO: value = field_info.get_default() else: value = self._parse_value(item, value) self._set_attr(item, value) res = super(LazyModel, self).__getattribute__(item) return res ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/lazy_model/parser/old.py0000644000000000000000000001045714477224774015330 0ustar00from typing import Any, Optional, Set, Dict from pydantic import BaseModel, PrivateAttr, parse_obj_as, ValidationError from pydantic.error_wrappers import ErrorWrapper from lazy_model.nao import NAO ROOT_KEY = "__root__" object_setattr = object.__setattr__ class LazyModel(BaseModel): _store: Dict[str, Any] = PrivateAttr(default_factory=dict) _lazily_parsed: bool = PrivateAttr(default=False) @classmethod def lazy_parse( cls, data: Dict[str, Any], fields: Optional[Set[str]] = None, **new_kwargs, ): m = cls.__new__(cls, **new_kwargs) # type: ignore if fields is None: fields = set() fields_values: Dict[str, Any] = {} field_alias_map: Dict[str, str] = {} for name, field in cls.__fields__.items(): fields_values[name] = NAO if field.alias in fields: field_alias_map[field.alias] = name object_setattr(m, "__dict__", fields_values) _fields_set = set(fields_values.keys()) object_setattr(m, "__fields_set__", _fields_set) m._init_private_attributes() m._store = data m._lazily_parsed = True for alias in fields: m._set_attr(field_alias_map[alias], data[alias]) return m def _set_attr(self, name, value): """ Stolen from Pydantic. # TODO rework """ field_type = self.__fields__.get(name).annotation try: value = parse_obj_as(field_type, value) except ValidationError as e: if value is None and self.__fields__.get(name).required is False: value = None else: raise e new_values = {**self.__dict__, name: value} for validator in self.__pre_root_validators__: try: new_values = validator(self.__class__, new_values) except (ValueError, TypeError, AssertionError) as exc: raise ValidationError( [ErrorWrapper(exc, loc=ROOT_KEY)], self.__class__ ) known_field = self.__fields__.get(name, None) if known_field: if not known_field.field_info.allow_mutation: raise TypeError( f'"{known_field.name}" has allow_mutation set ' f"to False and cannot be assigned" ) dict_without_original_value = { k: v for k, v in self.__dict__.items() if k != name } value, error_ = known_field.validate( value, dict_without_original_value, loc=name, cls=self.__class__, ) if error_: raise ValidationError([error_], self.__class__) else: new_values[name] = value errors = [] for skip_on_failure, validator in self.__post_root_validators__: if skip_on_failure and errors: continue try: new_values = validator(self.__class__, new_values) except (ValueError, TypeError, AssertionError) as exc: errors.append(ErrorWrapper(exc, loc=ROOT_KEY)) if errors: raise ValidationError(errors, self.__class__) object_setattr(self, "__dict__", new_values) self.__fields_set__.add(name) def parse_store(self): for name in self.__fields__: self.__getattribute__(name) def __getattribute__(self, item): # If __class__ is accessed, return it directly to avoid recursion if item == "__class__": return super().__getattribute__(item) # If called on the class itself, delegate to super's __getattribute__ if type(self) is type: # Check if self is a class return super(type, self).__getattribute__(item) # For instances, use the object's __getattribute__ to prevent recursion res = object.__getattribute__(self, item) if res is NAO: field_info = self.__fields__.get(item) value = self._store.get(field_info.alias, NAO) if value is NAO: value = field_info.get_default() self._set_attr(item, value) res = super(LazyModel, self).__getattribute__(item) return res ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1694312956.194601 lazy-model-0.2.0/pyproject.toml0000644000000000000000000000122214477224774013447 0ustar00[tool.poetry] name = "lazy-model" version = "0.2.0" description = "" authors = ["Roman Right "] license = "Apache-2.0" include = ["LICENSE"] readme = "README.md" packages = [{include = "lazy_model"}] [tool.poetry.dependencies] python = ">=3.7,<4.0" pydantic = ">=1.9.0" [tool.poetry.group.dev.dependencies] pytest = "^7.2.0" [tool.black] line-length = 79 include = '\.pyi?$' exclude = ''' /( \.git | \.hg | \.mypy_cache | \.tox | \.venv | _build | buck-out | build | dist )/ ''' [tool.mypy] ignore_missing_imports = true [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" lazy-model-0.2.0/setup.py0000644000000000000000000000342600000000000012174 0ustar00# -*- coding: utf-8 -*- from setuptools import setup packages = \ ['lazy_model', 'lazy_model.parser'] package_data = \ {'': ['*']} install_requires = \ ['pydantic>=1.9.0'] setup_kwargs = { 'name': 'lazy-model', 'version': '0.2.0', 'description': '', 'long_description': '# Lazy parsing for Pydantic models\n\nThis library provides a lazy interface for parsing objects from dictionaries. During the parsing, it saves the raw data inside the object and parses each field on demand.\n\n## Install\n\npoetry\n```shell\npoetry add lazy-model\n```\n\npip\n```shell\npip install lazy-model\n```\n\n## Usage\n\n```python\nfrom lazy_model import LazyModel\nfrom pydantic import validator\n\n\nclass Sample(LazyModel):\n i: int\n s: str\n\n @validator("s")\n def s_upper(cls, v):\n return v.upper()\n\n\nobj = Sample.lazy_parse({"i": "10", "s": "test"})\n\n# at this point the data is stored in a raw format inside the object\n\nprint(obj.__dict__)\n\n# >>> {\'i\': NAO, \'s\': NAO}\n\n# NAO - Not An Object. It shows that the field was not parsed yet.\n\nprint(obj.s)\n\n# >>> TEST\n\n# Custom validator works during lazy parsing\n\nprint(obj.__dict__)\n\n# >>> {\'i\': NAO, \'s\': \'TEST\'}\n\n# The `s` field was already parsed by this step\n\nprint(obj.i, type(obj.i))\n\n# >>> 10 \n\n# It converted `10` from string to int based on the annotations\n\nprint(obj.__dict__)\n\n# >>> {\'i\': 10, \'s\': \'TEST\'}\n\n# Everything was parsed\n```', 'author': 'Roman Right', 'author_email': 'roman-right@protonmail.com', 'maintainer': 'None', 'maintainer_email': 'None', 'url': 'None', 'packages': packages, 'package_data': package_data, 'install_requires': install_requires, 'python_requires': '>=3.7,<4.0', } setup(**setup_kwargs) lazy-model-0.2.0/PKG-INFO0000644000000000000000000000321500000000000011553 0ustar00Metadata-Version: 2.1 Name: lazy-model Version: 0.2.0 Summary: License: Apache-2.0 Author: Roman Right Author-email: roman-right@protonmail.com Requires-Python: >=3.7,<4.0 Classifier: License :: OSI Approved :: Apache Software License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Requires-Dist: pydantic (>=1.9.0) Description-Content-Type: text/markdown # Lazy parsing for Pydantic models This library provides a lazy interface for parsing objects from dictionaries. During the parsing, it saves the raw data inside the object and parses each field on demand. ## Install poetry ```shell poetry add lazy-model ``` pip ```shell pip install lazy-model ``` ## Usage ```python from lazy_model import LazyModel from pydantic import validator class Sample(LazyModel): i: int s: str @validator("s") def s_upper(cls, v): return v.upper() obj = Sample.lazy_parse({"i": "10", "s": "test"}) # at this point the data is stored in a raw format inside the object print(obj.__dict__) # >>> {'i': NAO, 's': NAO} # NAO - Not An Object. It shows that the field was not parsed yet. print(obj.s) # >>> TEST # Custom validator works during lazy parsing print(obj.__dict__) # >>> {'i': NAO, 's': 'TEST'} # The `s` field was already parsed by this step print(obj.i, type(obj.i)) # >>> 10 # It converted `10` from string to int based on the annotations print(obj.__dict__) # >>> {'i': 10, 's': 'TEST'} # Everything was parsed ```